iVOD / 168546

Field Value
IVOD_ID 168546
IVOD_URL https://ivod.ly.gov.tw/Play/Clip/1M/168546
日期 2026-04-15
會議資料.會議代碼 委員會-11-5-26-6
會議資料.會議代碼:str 第11屆第5會期社會福利及衛生環境委員會第6次全體委員會議
會議資料.屆 11
會議資料.會期 5
會議資料.會次 6
會議資料.種類 委員會
會議資料.委員會代碼[0] 26
會議資料.委員會代碼:str[0] 社會福利及衛生環境委員會
會議資料.標題 第11屆第5會期社會福利及衛生環境委員會第6次全體委員會議
影片種類 Clip
開始時間 2026-04-15T10:17:57+08:00
結束時間 2026-04-15T10:35:23+08:00
影片長度 00:17:26
支援功能[0] ai-transcript
video_url https://ivod-lyvod.cdn.hinet.net/vod_1/_definst_/mp4:1MClips/3ec77822e2e6eae3cf227c23b56ec0e18ea785098ebfecd525bca6d85ad377ffbf58e434f61d1a005ea18f28b6918d91.mp4/playlist.m3u8
委員名稱 蘇清泉
委員發言時間 10:17:57 - 10:35:23
會議時間 2026-04-15T09:00:00+08:00
會議名稱 立法院第11屆第5會期社會福利及衛生環境委員會第6次全體委員會議(事由:邀請衛生福利部部長、行政院經貿談判辦公室、經濟部、農業部、教育部就「美國貿易代表署發布《2026年各國貿易評估報告》(2026NTE)提及技術性貿易壁壘或食品安全檢驗與動植物防疫檢疫SPS)壁壘之豬肉、牛肉與牛肉產品、β促進劑的最大殘留容許量等各項食農相關產品及技術之要求,我國所承諾之措施、移除產品禁令或取消輸入口岸檢疫程序等,並特就其中開放切片馬鈴薯帶芽(或腐爛或發黴)仍能整批進口與其敦促撤銷基改食品進校園,對我國食品安全造成之衝擊與因應作為」進行專題報告,並備質詢。 邀請衛生福利部、農業部、行政院消費者保護處就「寵物用藥新制上路在即,犬貓及非經濟動物急重症醫療銜接、藥品流向管理、飼主取得可近性與消費權益保障之整體配套」進行專題報告,並備質詢。 【專題報告綜合詢答】)
transcript.pyannote[0].speaker SPEAKER_00
transcript.pyannote[0].start 6.64596875
transcript.pyannote[0].end 10.30784375
transcript.pyannote[1].speaker SPEAKER_00
transcript.pyannote[1].start 10.98284375
transcript.pyannote[1].end 16.24784375
transcript.pyannote[2].speaker SPEAKER_01
transcript.pyannote[2].start 14.59409375
transcript.pyannote[2].end 15.40409375
transcript.pyannote[3].speaker SPEAKER_00
transcript.pyannote[3].start 16.34909375
transcript.pyannote[3].end 17.37846875
transcript.pyannote[4].speaker SPEAKER_00
transcript.pyannote[4].start 18.77909375
transcript.pyannote[4].end 25.30971875
transcript.pyannote[5].speaker SPEAKER_01
transcript.pyannote[5].start 19.65659375
transcript.pyannote[5].end 20.09534375
transcript.pyannote[6].speaker SPEAKER_00
transcript.pyannote[6].start 25.95096875
transcript.pyannote[6].end 27.28409375
transcript.pyannote[7].speaker SPEAKER_00
transcript.pyannote[7].start 29.05596875
transcript.pyannote[7].end 31.48596875
transcript.pyannote[8].speaker SPEAKER_00
transcript.pyannote[8].start 32.31284375
transcript.pyannote[8].end 39.38346875
transcript.pyannote[9].speaker SPEAKER_00
transcript.pyannote[9].start 39.56909375
transcript.pyannote[9].end 39.99096875
transcript.pyannote[10].speaker SPEAKER_00
transcript.pyannote[10].start 40.37909375
transcript.pyannote[10].end 41.03721875
transcript.pyannote[11].speaker SPEAKER_00
transcript.pyannote[11].start 41.30721875
transcript.pyannote[11].end 43.68659375
transcript.pyannote[12].speaker SPEAKER_00
transcript.pyannote[12].start 44.63159375
transcript.pyannote[12].end 44.64846875
transcript.pyannote[13].speaker SPEAKER_01
transcript.pyannote[13].start 44.64846875
transcript.pyannote[13].end 46.57221875
transcript.pyannote[14].speaker SPEAKER_00
transcript.pyannote[14].start 47.39909375
transcript.pyannote[14].end 51.85409375
transcript.pyannote[15].speaker SPEAKER_00
transcript.pyannote[15].start 51.97221875
transcript.pyannote[15].end 54.89159375
transcript.pyannote[16].speaker SPEAKER_00
transcript.pyannote[16].start 55.73534375
transcript.pyannote[16].end 56.15721875
transcript.pyannote[17].speaker SPEAKER_01
transcript.pyannote[17].start 57.03471875
transcript.pyannote[17].end 76.30596875
transcript.pyannote[18].speaker SPEAKER_00
transcript.pyannote[18].start 76.30596875
transcript.pyannote[18].end 76.37346875
transcript.pyannote[19].speaker SPEAKER_00
transcript.pyannote[19].start 76.99784375
transcript.pyannote[19].end 77.23409375
transcript.pyannote[20].speaker SPEAKER_00
transcript.pyannote[20].start 77.26784375
transcript.pyannote[20].end 90.48096875
transcript.pyannote[21].speaker SPEAKER_01
transcript.pyannote[21].start 87.57846875
transcript.pyannote[21].end 108.03096875
transcript.pyannote[22].speaker SPEAKER_00
transcript.pyannote[22].start 105.06096875
transcript.pyannote[22].end 105.83721875
transcript.pyannote[23].speaker SPEAKER_00
transcript.pyannote[23].start 108.03096875
transcript.pyannote[23].end 109.22909375
transcript.pyannote[24].speaker SPEAKER_01
transcript.pyannote[24].start 109.22909375
transcript.pyannote[24].end 117.63284375
transcript.pyannote[25].speaker SPEAKER_00
transcript.pyannote[25].start 109.26284375
transcript.pyannote[25].end 109.46534375
transcript.pyannote[26].speaker SPEAKER_00
transcript.pyannote[26].start 115.54034375
transcript.pyannote[26].end 116.70471875
transcript.pyannote[27].speaker SPEAKER_01
transcript.pyannote[27].start 117.95346875
transcript.pyannote[27].end 118.03784375
transcript.pyannote[28].speaker SPEAKER_00
transcript.pyannote[28].start 118.03784375
transcript.pyannote[28].end 118.05471875
transcript.pyannote[29].speaker SPEAKER_01
transcript.pyannote[29].start 118.05471875
transcript.pyannote[29].end 118.07159375
transcript.pyannote[30].speaker SPEAKER_00
transcript.pyannote[30].start 118.07159375
transcript.pyannote[30].end 124.93971875
transcript.pyannote[31].speaker SPEAKER_00
transcript.pyannote[31].start 126.27284375
transcript.pyannote[31].end 127.03221875
transcript.pyannote[32].speaker SPEAKER_00
transcript.pyannote[32].start 127.20096875
transcript.pyannote[32].end 133.12409375
transcript.pyannote[33].speaker SPEAKER_00
transcript.pyannote[33].start 133.27596875
transcript.pyannote[33].end 135.95909375
transcript.pyannote[34].speaker SPEAKER_01
transcript.pyannote[34].start 134.00159375
transcript.pyannote[34].end 134.55846875
transcript.pyannote[35].speaker SPEAKER_01
transcript.pyannote[35].start 135.57096875
transcript.pyannote[35].end 136.73534375
transcript.pyannote[36].speaker SPEAKER_00
transcript.pyannote[36].start 136.73534375
transcript.pyannote[36].end 139.75596875
transcript.pyannote[37].speaker SPEAKER_00
transcript.pyannote[37].start 140.44784375
transcript.pyannote[37].end 141.19034375
transcript.pyannote[38].speaker SPEAKER_00
transcript.pyannote[38].start 141.59534375
transcript.pyannote[38].end 143.13096875
transcript.pyannote[39].speaker SPEAKER_00
transcript.pyannote[39].start 143.53596875
transcript.pyannote[39].end 144.64971875
transcript.pyannote[40].speaker SPEAKER_00
transcript.pyannote[40].start 145.07159375
transcript.pyannote[40].end 145.96596875
transcript.pyannote[41].speaker SPEAKER_01
transcript.pyannote[41].start 145.96596875
transcript.pyannote[41].end 172.94909375
transcript.pyannote[42].speaker SPEAKER_00
transcript.pyannote[42].start 164.51159375
transcript.pyannote[42].end 164.52846875
transcript.pyannote[43].speaker SPEAKER_02
transcript.pyannote[43].start 164.52846875
transcript.pyannote[43].end 164.74784375
transcript.pyannote[44].speaker SPEAKER_01
transcript.pyannote[44].start 173.32034375
transcript.pyannote[44].end 179.09159375
transcript.pyannote[45].speaker SPEAKER_01
transcript.pyannote[45].start 179.46284375
transcript.pyannote[45].end 179.49659375
transcript.pyannote[46].speaker SPEAKER_00
transcript.pyannote[46].start 179.49659375
transcript.pyannote[46].end 190.65096875
transcript.pyannote[47].speaker SPEAKER_00
transcript.pyannote[47].start 191.07284375
transcript.pyannote[47].end 193.19909375
transcript.pyannote[48].speaker SPEAKER_00
transcript.pyannote[48].start 194.00909375
transcript.pyannote[48].end 197.33346875
transcript.pyannote[49].speaker SPEAKER_00
transcript.pyannote[49].start 198.43034375
transcript.pyannote[49].end 202.80096875
transcript.pyannote[50].speaker SPEAKER_00
transcript.pyannote[50].start 203.39159375
transcript.pyannote[50].end 203.72909375
transcript.pyannote[51].speaker SPEAKER_00
transcript.pyannote[51].start 204.53909375
transcript.pyannote[51].end 210.59721875
transcript.pyannote[52].speaker SPEAKER_01
transcript.pyannote[52].start 209.97284375
transcript.pyannote[52].end 212.89221875
transcript.pyannote[53].speaker SPEAKER_00
transcript.pyannote[53].start 212.30159375
transcript.pyannote[53].end 212.87534375
transcript.pyannote[54].speaker SPEAKER_00
transcript.pyannote[54].start 212.89221875
transcript.pyannote[54].end 214.17471875
transcript.pyannote[55].speaker SPEAKER_00
transcript.pyannote[55].start 215.50784375
transcript.pyannote[55].end 219.13596875
transcript.pyannote[56].speaker SPEAKER_00
transcript.pyannote[56].start 221.16096875
transcript.pyannote[56].end 222.08909375
transcript.pyannote[57].speaker SPEAKER_00
transcript.pyannote[57].start 223.05096875
transcript.pyannote[57].end 231.50534375
transcript.pyannote[58].speaker SPEAKER_00
transcript.pyannote[58].start 232.06221875
transcript.pyannote[58].end 239.21721875
transcript.pyannote[59].speaker SPEAKER_00
transcript.pyannote[59].start 239.72346875
transcript.pyannote[59].end 240.41534375
transcript.pyannote[60].speaker SPEAKER_00
transcript.pyannote[60].start 240.75284375
transcript.pyannote[60].end 244.43159375
transcript.pyannote[61].speaker SPEAKER_00
transcript.pyannote[61].start 244.95471875
transcript.pyannote[61].end 248.59971875
transcript.pyannote[62].speaker SPEAKER_00
transcript.pyannote[62].start 249.00471875
transcript.pyannote[62].end 255.02909375
transcript.pyannote[63].speaker SPEAKER_00
transcript.pyannote[63].start 255.80534375
transcript.pyannote[63].end 257.47596875
transcript.pyannote[64].speaker SPEAKER_00
transcript.pyannote[64].start 257.79659375
transcript.pyannote[64].end 259.39971875
transcript.pyannote[65].speaker SPEAKER_00
transcript.pyannote[65].start 259.73721875
transcript.pyannote[65].end 260.54721875
transcript.pyannote[66].speaker SPEAKER_00
transcript.pyannote[66].start 261.39096875
transcript.pyannote[66].end 266.79096875
transcript.pyannote[67].speaker SPEAKER_00
transcript.pyannote[67].start 268.74846875
transcript.pyannote[67].end 269.03534375
transcript.pyannote[68].speaker SPEAKER_00
transcript.pyannote[68].start 269.76096875
transcript.pyannote[68].end 270.14909375
transcript.pyannote[69].speaker SPEAKER_00
transcript.pyannote[69].start 270.79034375
transcript.pyannote[69].end 273.11909375
transcript.pyannote[70].speaker SPEAKER_00
transcript.pyannote[70].start 273.40596875
transcript.pyannote[70].end 275.09346875
transcript.pyannote[71].speaker SPEAKER_00
transcript.pyannote[71].start 275.26221875
transcript.pyannote[71].end 283.95284375
transcript.pyannote[72].speaker SPEAKER_00
transcript.pyannote[72].start 286.11284375
transcript.pyannote[72].end 287.00721875
transcript.pyannote[73].speaker SPEAKER_01
transcript.pyannote[73].start 287.00721875
transcript.pyannote[73].end 293.85846875
transcript.pyannote[74].speaker SPEAKER_01
transcript.pyannote[74].start 294.39846875
transcript.pyannote[74].end 333.39659375
transcript.pyannote[75].speaker SPEAKER_02
transcript.pyannote[75].start 303.91596875
transcript.pyannote[75].end 304.30409375
transcript.pyannote[76].speaker SPEAKER_02
transcript.pyannote[76].start 305.16471875
transcript.pyannote[76].end 305.21534375
transcript.pyannote[77].speaker SPEAKER_00
transcript.pyannote[77].start 333.39659375
transcript.pyannote[77].end 333.80159375
transcript.pyannote[78].speaker SPEAKER_00
transcript.pyannote[78].start 334.78034375
transcript.pyannote[78].end 340.21409375
transcript.pyannote[79].speaker SPEAKER_00
transcript.pyannote[79].start 340.65284375
transcript.pyannote[79].end 342.66096875
transcript.pyannote[80].speaker SPEAKER_00
transcript.pyannote[80].start 343.18409375
transcript.pyannote[80].end 347.03159375
transcript.pyannote[81].speaker SPEAKER_00
transcript.pyannote[81].start 347.48721875
transcript.pyannote[81].end 356.97096875
transcript.pyannote[82].speaker SPEAKER_02
transcript.pyannote[82].start 356.97096875
transcript.pyannote[82].end 357.37596875
transcript.pyannote[83].speaker SPEAKER_00
transcript.pyannote[83].start 357.37596875
transcript.pyannote[83].end 360.32909375
transcript.pyannote[84].speaker SPEAKER_00
transcript.pyannote[84].start 360.59909375
transcript.pyannote[84].end 362.70846875
transcript.pyannote[85].speaker SPEAKER_00
transcript.pyannote[85].start 363.63659375
transcript.pyannote[85].end 365.20596875
transcript.pyannote[86].speaker SPEAKER_00
transcript.pyannote[86].start 365.67846875
transcript.pyannote[86].end 367.31534375
transcript.pyannote[87].speaker SPEAKER_00
transcript.pyannote[87].start 367.99034375
transcript.pyannote[87].end 370.26846875
transcript.pyannote[88].speaker SPEAKER_00
transcript.pyannote[88].start 370.74096875
transcript.pyannote[88].end 378.80721875
transcript.pyannote[89].speaker SPEAKER_01
transcript.pyannote[89].start 377.71034375
transcript.pyannote[89].end 378.52034375
transcript.pyannote[90].speaker SPEAKER_00
transcript.pyannote[90].start 379.17846875
transcript.pyannote[90].end 381.05159375
transcript.pyannote[91].speaker SPEAKER_01
transcript.pyannote[91].start 381.05159375
transcript.pyannote[91].end 394.21409375
transcript.pyannote[92].speaker SPEAKER_00
transcript.pyannote[92].start 394.23096875
transcript.pyannote[92].end 399.88409375
transcript.pyannote[93].speaker SPEAKER_00
transcript.pyannote[93].start 401.31846875
transcript.pyannote[93].end 402.46596875
transcript.pyannote[94].speaker SPEAKER_00
transcript.pyannote[94].start 402.60096875
transcript.pyannote[94].end 406.39784375
transcript.pyannote[95].speaker SPEAKER_00
transcript.pyannote[95].start 407.07284375
transcript.pyannote[95].end 409.94159375
transcript.pyannote[96].speaker SPEAKER_00
transcript.pyannote[96].start 410.39721875
transcript.pyannote[96].end 418.42971875
transcript.pyannote[97].speaker SPEAKER_00
transcript.pyannote[97].start 419.00346875
transcript.pyannote[97].end 424.50471875
transcript.pyannote[98].speaker SPEAKER_00
transcript.pyannote[98].start 425.29784375
transcript.pyannote[98].end 441.91971875
transcript.pyannote[99].speaker SPEAKER_00
transcript.pyannote[99].start 442.67909375
transcript.pyannote[99].end 449.39534375
transcript.pyannote[100].speaker SPEAKER_01
transcript.pyannote[100].start 445.81784375
transcript.pyannote[100].end 448.26471875
transcript.pyannote[101].speaker SPEAKER_00
transcript.pyannote[101].start 450.72846875
transcript.pyannote[101].end 451.63971875
transcript.pyannote[102].speaker SPEAKER_01
transcript.pyannote[102].start 451.01534375
transcript.pyannote[102].end 451.52159375
transcript.pyannote[103].speaker SPEAKER_01
transcript.pyannote[103].start 451.63971875
transcript.pyannote[103].end 452.97284375
transcript.pyannote[104].speaker SPEAKER_00
transcript.pyannote[104].start 453.61409375
transcript.pyannote[104].end 458.86221875
transcript.pyannote[105].speaker SPEAKER_01
transcript.pyannote[105].start 454.23846875
transcript.pyannote[105].end 455.60534375
transcript.pyannote[106].speaker SPEAKER_00
transcript.pyannote[106].start 459.28409375
transcript.pyannote[106].end 459.80721875
transcript.pyannote[107].speaker SPEAKER_00
transcript.pyannote[107].start 460.48221875
transcript.pyannote[107].end 464.73471875
transcript.pyannote[108].speaker SPEAKER_01
transcript.pyannote[108].start 462.72659375
transcript.pyannote[108].end 463.11471875
transcript.pyannote[109].speaker SPEAKER_01
transcript.pyannote[109].start 463.68846875
transcript.pyannote[109].end 465.02159375
transcript.pyannote[110].speaker SPEAKER_00
transcript.pyannote[110].start 465.37596875
transcript.pyannote[110].end 483.29721875
transcript.pyannote[111].speaker SPEAKER_01
transcript.pyannote[111].start 477.69471875
transcript.pyannote[111].end 477.94784375
transcript.pyannote[112].speaker SPEAKER_00
transcript.pyannote[112].start 484.30971875
transcript.pyannote[112].end 485.57534375
transcript.pyannote[113].speaker SPEAKER_00
transcript.pyannote[113].start 486.50346875
transcript.pyannote[113].end 494.83971875
transcript.pyannote[114].speaker SPEAKER_00
transcript.pyannote[114].start 495.24471875
transcript.pyannote[114].end 512.59221875
transcript.pyannote[115].speaker SPEAKER_02
transcript.pyannote[115].start 512.74409375
transcript.pyannote[115].end 513.55409375
transcript.pyannote[116].speaker SPEAKER_00
transcript.pyannote[116].start 513.85784375
transcript.pyannote[116].end 516.70971875
transcript.pyannote[117].speaker SPEAKER_02
transcript.pyannote[117].start 514.58346875
transcript.pyannote[117].end 514.81971875
transcript.pyannote[118].speaker SPEAKER_00
transcript.pyannote[118].start 517.19909375
transcript.pyannote[118].end 518.07659375
transcript.pyannote[119].speaker SPEAKER_00
transcript.pyannote[119].start 518.66721875
transcript.pyannote[119].end 521.50221875
transcript.pyannote[120].speaker SPEAKER_00
transcript.pyannote[120].start 521.72159375
transcript.pyannote[120].end 523.54409375
transcript.pyannote[121].speaker SPEAKER_00
transcript.pyannote[121].start 523.98284375
transcript.pyannote[121].end 531.17159375
transcript.pyannote[122].speaker SPEAKER_00
transcript.pyannote[122].start 532.67346875
transcript.pyannote[122].end 534.54659375
transcript.pyannote[123].speaker SPEAKER_01
transcript.pyannote[123].start 536.11596875
transcript.pyannote[123].end 536.99346875
transcript.pyannote[124].speaker SPEAKER_00
transcript.pyannote[124].start 536.36909375
transcript.pyannote[124].end 536.70659375
transcript.pyannote[125].speaker SPEAKER_00
transcript.pyannote[125].start 538.37721875
transcript.pyannote[125].end 539.44034375
transcript.pyannote[126].speaker SPEAKER_00
transcript.pyannote[126].start 540.13221875
transcript.pyannote[126].end 541.31346875
transcript.pyannote[127].speaker SPEAKER_00
transcript.pyannote[127].start 541.46534375
transcript.pyannote[127].end 544.04721875
transcript.pyannote[128].speaker SPEAKER_00
transcript.pyannote[128].start 544.85721875
transcript.pyannote[128].end 548.46846875
transcript.pyannote[129].speaker SPEAKER_02
transcript.pyannote[129].start 549.12659375
transcript.pyannote[129].end 553.10909375
transcript.pyannote[130].speaker SPEAKER_02
transcript.pyannote[130].start 553.22721875
transcript.pyannote[130].end 553.27784375
transcript.pyannote[131].speaker SPEAKER_00
transcript.pyannote[131].start 553.27784375
transcript.pyannote[131].end 556.19721875
transcript.pyannote[132].speaker SPEAKER_02
transcript.pyannote[132].start 553.37909375
transcript.pyannote[132].end 554.39159375
transcript.pyannote[133].speaker SPEAKER_00
transcript.pyannote[133].start 556.78784375
transcript.pyannote[133].end 558.40784375
transcript.pyannote[134].speaker SPEAKER_00
transcript.pyannote[134].start 558.76221875
transcript.pyannote[134].end 559.31909375
transcript.pyannote[135].speaker SPEAKER_00
transcript.pyannote[135].start 560.28096875
transcript.pyannote[135].end 563.70659375
transcript.pyannote[136].speaker SPEAKER_00
transcript.pyannote[136].start 564.29721875
transcript.pyannote[136].end 567.68909375
transcript.pyannote[137].speaker SPEAKER_00
transcript.pyannote[137].start 568.19534375
transcript.pyannote[137].end 569.22471875
transcript.pyannote[138].speaker SPEAKER_00
transcript.pyannote[138].start 569.51159375
transcript.pyannote[138].end 570.03471875
transcript.pyannote[139].speaker SPEAKER_00
transcript.pyannote[139].start 570.25409375
transcript.pyannote[139].end 570.62534375
transcript.pyannote[140].speaker SPEAKER_00
transcript.pyannote[140].start 571.08096875
transcript.pyannote[140].end 571.53659375
transcript.pyannote[141].speaker SPEAKER_00
transcript.pyannote[141].start 572.02596875
transcript.pyannote[141].end 572.54909375
transcript.pyannote[142].speaker SPEAKER_00
transcript.pyannote[142].start 572.93721875
transcript.pyannote[142].end 573.35909375
transcript.pyannote[143].speaker SPEAKER_00
transcript.pyannote[143].start 573.56159375
transcript.pyannote[143].end 574.23659375
transcript.pyannote[144].speaker SPEAKER_00
transcript.pyannote[144].start 575.29971875
transcript.pyannote[144].end 576.49784375
transcript.pyannote[145].speaker SPEAKER_00
transcript.pyannote[145].start 576.86909375
transcript.pyannote[145].end 578.15159375
transcript.pyannote[146].speaker SPEAKER_00
transcript.pyannote[146].start 578.53971875
transcript.pyannote[146].end 579.26534375
transcript.pyannote[147].speaker SPEAKER_00
transcript.pyannote[147].start 580.63221875
transcript.pyannote[147].end 586.55534375
transcript.pyannote[148].speaker SPEAKER_00
transcript.pyannote[148].start 587.09534375
transcript.pyannote[148].end 598.84034375
transcript.pyannote[149].speaker SPEAKER_00
transcript.pyannote[149].start 599.53221875
transcript.pyannote[149].end 600.69659375
transcript.pyannote[150].speaker SPEAKER_00
transcript.pyannote[150].start 601.28721875
transcript.pyannote[150].end 602.48534375
transcript.pyannote[151].speaker SPEAKER_00
transcript.pyannote[151].start 602.89034375
transcript.pyannote[151].end 605.08409375
transcript.pyannote[152].speaker SPEAKER_00
transcript.pyannote[152].start 605.59034375
transcript.pyannote[152].end 609.03284375
transcript.pyannote[153].speaker SPEAKER_00
transcript.pyannote[153].start 609.53909375
transcript.pyannote[153].end 613.62284375
transcript.pyannote[154].speaker SPEAKER_00
transcript.pyannote[154].start 614.19659375
transcript.pyannote[154].end 616.00221875
transcript.pyannote[155].speaker SPEAKER_00
transcript.pyannote[155].start 616.49159375
transcript.pyannote[155].end 620.38971875
transcript.pyannote[156].speaker SPEAKER_00
transcript.pyannote[156].start 621.25034375
transcript.pyannote[156].end 626.21159375
transcript.pyannote[157].speaker SPEAKER_00
transcript.pyannote[157].start 626.73471875
transcript.pyannote[157].end 629.09721875
transcript.pyannote[158].speaker SPEAKER_00
transcript.pyannote[158].start 629.38409375
transcript.pyannote[158].end 633.61971875
transcript.pyannote[159].speaker SPEAKER_00
transcript.pyannote[159].start 633.88971875
transcript.pyannote[159].end 637.72034375
transcript.pyannote[160].speaker SPEAKER_00
transcript.pyannote[160].start 638.07471875
transcript.pyannote[160].end 641.87159375
transcript.pyannote[161].speaker SPEAKER_00
transcript.pyannote[161].start 642.39471875
transcript.pyannote[161].end 645.19596875
transcript.pyannote[162].speaker SPEAKER_00
transcript.pyannote[162].start 645.82034375
transcript.pyannote[162].end 647.49096875
transcript.pyannote[163].speaker SPEAKER_00
transcript.pyannote[163].start 648.50346875
transcript.pyannote[163].end 655.50659375
transcript.pyannote[164].speaker SPEAKER_00
transcript.pyannote[164].start 656.09721875
transcript.pyannote[164].end 656.53596875
transcript.pyannote[165].speaker SPEAKER_00
transcript.pyannote[165].start 656.73846875
transcript.pyannote[165].end 659.03346875
transcript.pyannote[166].speaker SPEAKER_00
transcript.pyannote[166].start 659.70846875
transcript.pyannote[166].end 661.49721875
transcript.pyannote[167].speaker SPEAKER_01
transcript.pyannote[167].start 662.50971875
transcript.pyannote[167].end 662.88096875
transcript.pyannote[168].speaker SPEAKER_01
transcript.pyannote[168].start 662.89784375
transcript.pyannote[168].end 680.54909375
transcript.pyannote[169].speaker SPEAKER_01
transcript.pyannote[169].start 680.68409375
transcript.pyannote[169].end 710.09721875
transcript.pyannote[170].speaker SPEAKER_01
transcript.pyannote[170].start 710.45159375
transcript.pyannote[170].end 721.72409375
transcript.pyannote[171].speaker SPEAKER_00
transcript.pyannote[171].start 712.91534375
transcript.pyannote[171].end 715.05846875
transcript.pyannote[172].speaker SPEAKER_01
transcript.pyannote[172].start 722.04471875
transcript.pyannote[172].end 724.37346875
transcript.pyannote[173].speaker SPEAKER_00
transcript.pyannote[173].start 723.66471875
transcript.pyannote[173].end 726.68534375
transcript.pyannote[174].speaker SPEAKER_00
transcript.pyannote[174].start 727.37721875
transcript.pyannote[174].end 727.81596875
transcript.pyannote[175].speaker SPEAKER_00
transcript.pyannote[175].start 729.14909375
transcript.pyannote[175].end 730.31346875
transcript.pyannote[176].speaker SPEAKER_00
transcript.pyannote[176].start 730.80284375
transcript.pyannote[176].end 731.35971875
transcript.pyannote[177].speaker SPEAKER_00
transcript.pyannote[177].start 731.37659375
transcript.pyannote[177].end 738.26159375
transcript.pyannote[178].speaker SPEAKER_00
transcript.pyannote[178].start 739.66221875
transcript.pyannote[178].end 739.98284375
transcript.pyannote[179].speaker SPEAKER_00
transcript.pyannote[179].start 740.47221875
transcript.pyannote[179].end 741.51846875
transcript.pyannote[180].speaker SPEAKER_00
transcript.pyannote[180].start 742.14284375
transcript.pyannote[180].end 743.29034375
transcript.pyannote[181].speaker SPEAKER_00
transcript.pyannote[181].start 743.69534375
transcript.pyannote[181].end 747.93096875
transcript.pyannote[182].speaker SPEAKER_01
transcript.pyannote[182].start 748.85909375
transcript.pyannote[182].end 762.25784375
transcript.pyannote[183].speaker SPEAKER_00
transcript.pyannote[183].start 749.95596875
transcript.pyannote[183].end 751.00221875
transcript.pyannote[184].speaker SPEAKER_00
transcript.pyannote[184].start 755.15346875
transcript.pyannote[184].end 756.46971875
transcript.pyannote[185].speaker SPEAKER_01
transcript.pyannote[185].start 762.56159375
transcript.pyannote[185].end 780.43221875
transcript.pyannote[186].speaker SPEAKER_00
transcript.pyannote[186].start 780.43221875
transcript.pyannote[186].end 786.94596875
transcript.pyannote[187].speaker SPEAKER_00
transcript.pyannote[187].start 787.77284375
transcript.pyannote[187].end 791.56971875
transcript.pyannote[188].speaker SPEAKER_00
transcript.pyannote[188].start 791.83971875
transcript.pyannote[188].end 793.99971875
transcript.pyannote[189].speaker SPEAKER_00
transcript.pyannote[189].start 794.25284375
transcript.pyannote[189].end 795.43409375
transcript.pyannote[190].speaker SPEAKER_00
transcript.pyannote[190].start 796.02471875
transcript.pyannote[190].end 797.56034375
transcript.pyannote[191].speaker SPEAKER_00
transcript.pyannote[191].start 797.88096875
transcript.pyannote[191].end 813.65909375
transcript.pyannote[192].speaker SPEAKER_00
transcript.pyannote[192].start 814.09784375
transcript.pyannote[192].end 814.72221875
transcript.pyannote[193].speaker SPEAKER_00
transcript.pyannote[193].start 815.00909375
transcript.pyannote[193].end 818.14784375
transcript.pyannote[194].speaker SPEAKER_00
transcript.pyannote[194].start 819.83534375
transcript.pyannote[194].end 839.15721875
transcript.pyannote[195].speaker SPEAKER_01
transcript.pyannote[195].start 823.59846875
transcript.pyannote[195].end 823.69971875
transcript.pyannote[196].speaker SPEAKER_00
transcript.pyannote[196].start 839.42721875
transcript.pyannote[196].end 840.43971875
transcript.pyannote[197].speaker SPEAKER_00
transcript.pyannote[197].start 840.77721875
transcript.pyannote[197].end 845.48534375
transcript.pyannote[198].speaker SPEAKER_01
transcript.pyannote[198].start 845.01284375
transcript.pyannote[198].end 848.87721875
transcript.pyannote[199].speaker SPEAKER_00
transcript.pyannote[199].start 848.87721875
transcript.pyannote[199].end 849.07971875
transcript.pyannote[200].speaker SPEAKER_01
transcript.pyannote[200].start 849.07971875
transcript.pyannote[200].end 868.43534375
transcript.pyannote[201].speaker SPEAKER_00
transcript.pyannote[201].start 868.43534375
transcript.pyannote[201].end 868.45221875
transcript.pyannote[202].speaker SPEAKER_00
transcript.pyannote[202].start 868.90784375
transcript.pyannote[202].end 882.44159375
transcript.pyannote[203].speaker SPEAKER_01
transcript.pyannote[203].start 874.32471875
transcript.pyannote[203].end 874.34159375
transcript.pyannote[204].speaker SPEAKER_02
transcript.pyannote[204].start 874.34159375
transcript.pyannote[204].end 874.72971875
transcript.pyannote[205].speaker SPEAKER_01
transcript.pyannote[205].start 874.72971875
transcript.pyannote[205].end 874.79721875
transcript.pyannote[206].speaker SPEAKER_01
transcript.pyannote[206].start 876.73784375
transcript.pyannote[206].end 877.22721875
transcript.pyannote[207].speaker SPEAKER_02
transcript.pyannote[207].start 877.22721875
transcript.pyannote[207].end 877.69971875
transcript.pyannote[208].speaker SPEAKER_01
transcript.pyannote[208].start 877.69971875
transcript.pyannote[208].end 877.78409375
transcript.pyannote[209].speaker SPEAKER_01
transcript.pyannote[209].start 879.11721875
transcript.pyannote[209].end 879.18471875
transcript.pyannote[210].speaker SPEAKER_02
transcript.pyannote[210].start 879.18471875
transcript.pyannote[210].end 879.31971875
transcript.pyannote[211].speaker SPEAKER_01
transcript.pyannote[211].start 879.31971875
transcript.pyannote[211].end 879.55596875
transcript.pyannote[212].speaker SPEAKER_02
transcript.pyannote[212].start 879.55596875
transcript.pyannote[212].end 879.62346875
transcript.pyannote[213].speaker SPEAKER_01
transcript.pyannote[213].start 879.62346875
transcript.pyannote[213].end 879.67409375
transcript.pyannote[214].speaker SPEAKER_00
transcript.pyannote[214].start 882.74534375
transcript.pyannote[214].end 887.67284375
transcript.pyannote[215].speaker SPEAKER_00
transcript.pyannote[215].start 887.89221875
transcript.pyannote[215].end 888.55034375
transcript.pyannote[216].speaker SPEAKER_00
transcript.pyannote[216].start 889.24221875
transcript.pyannote[216].end 893.39346875
transcript.pyannote[217].speaker SPEAKER_00
transcript.pyannote[217].start 893.69721875
transcript.pyannote[217].end 908.22659375
transcript.pyannote[218].speaker SPEAKER_00
transcript.pyannote[218].start 908.58096875
transcript.pyannote[218].end 918.38534375
transcript.pyannote[219].speaker SPEAKER_00
transcript.pyannote[219].start 918.97596875
transcript.pyannote[219].end 921.55784375
transcript.pyannote[220].speaker SPEAKER_00
transcript.pyannote[220].start 921.96284375
transcript.pyannote[220].end 936.47534375
transcript.pyannote[221].speaker SPEAKER_02
transcript.pyannote[221].start 936.47534375
transcript.pyannote[221].end 936.84659375
transcript.pyannote[222].speaker SPEAKER_00
transcript.pyannote[222].start 936.84659375
transcript.pyannote[222].end 938.02784375
transcript.pyannote[223].speaker SPEAKER_02
transcript.pyannote[223].start 936.86346875
transcript.pyannote[223].end 937.45409375
transcript.pyannote[224].speaker SPEAKER_02
transcript.pyannote[224].start 938.06159375
transcript.pyannote[224].end 941.14971875
transcript.pyannote[225].speaker SPEAKER_00
transcript.pyannote[225].start 938.21346875
transcript.pyannote[225].end 938.83784375
transcript.pyannote[226].speaker SPEAKER_00
transcript.pyannote[226].start 941.28471875
transcript.pyannote[226].end 943.66409375
transcript.pyannote[227].speaker SPEAKER_02
transcript.pyannote[227].start 943.09034375
transcript.pyannote[227].end 948.37221875
transcript.pyannote[228].speaker SPEAKER_00
transcript.pyannote[228].start 948.37221875
transcript.pyannote[228].end 951.44346875
transcript.pyannote[229].speaker SPEAKER_00
transcript.pyannote[229].start 951.59534375
transcript.pyannote[229].end 954.54846875
transcript.pyannote[230].speaker SPEAKER_00
transcript.pyannote[230].start 955.20659375
transcript.pyannote[230].end 958.22721875
transcript.pyannote[231].speaker SPEAKER_00
transcript.pyannote[231].start 959.25659375
transcript.pyannote[231].end 962.41221875
transcript.pyannote[232].speaker SPEAKER_01
transcript.pyannote[232].start 962.41221875
transcript.pyannote[232].end 962.42909375
transcript.pyannote[233].speaker SPEAKER_02
transcript.pyannote[233].start 962.56409375
transcript.pyannote[233].end 963.13784375
transcript.pyannote[234].speaker SPEAKER_01
transcript.pyannote[234].start 965.92221875
transcript.pyannote[234].end 987.67409375
transcript.pyannote[235].speaker SPEAKER_00
transcript.pyannote[235].start 988.02846875
transcript.pyannote[235].end 997.20846875
transcript.pyannote[236].speaker SPEAKER_00
transcript.pyannote[236].start 997.42784375
transcript.pyannote[236].end 1000.58346875
transcript.pyannote[237].speaker SPEAKER_02
transcript.pyannote[237].start 1000.61721875
transcript.pyannote[237].end 1008.32909375
transcript.pyannote[238].speaker SPEAKER_02
transcript.pyannote[238].start 1008.70034375
transcript.pyannote[238].end 1009.08846875
transcript.pyannote[239].speaker SPEAKER_02
transcript.pyannote[239].start 1009.20659375
transcript.pyannote[239].end 1009.49346875
transcript.pyannote[240].speaker SPEAKER_02
transcript.pyannote[240].start 1009.69596875
transcript.pyannote[240].end 1021.42409375
transcript.pyannote[241].speaker SPEAKER_02
transcript.pyannote[241].start 1021.81221875
transcript.pyannote[241].end 1029.35534375
transcript.pyannote[242].speaker SPEAKER_02
transcript.pyannote[242].start 1029.57471875
transcript.pyannote[242].end 1030.60409375
transcript.pyannote[243].speaker SPEAKER_02
transcript.pyannote[243].start 1030.80659375
transcript.pyannote[243].end 1036.88159375
transcript.pyannote[244].speaker SPEAKER_00
transcript.pyannote[244].start 1035.95346875
transcript.pyannote[244].end 1036.42596875
transcript.pyannote[245].speaker SPEAKER_00
transcript.pyannote[245].start 1036.94909375
transcript.pyannote[245].end 1045.79159375
transcript.pyannote[246].speaker SPEAKER_02
transcript.pyannote[246].start 1040.42534375
transcript.pyannote[246].end 1041.03284375
transcript.pyannote[247].speaker SPEAKER_02
transcript.pyannote[247].start 1041.87659375
transcript.pyannote[247].end 1041.96096875
transcript.pyannote[248].speaker SPEAKER_02
transcript.pyannote[248].start 1041.97784375
transcript.pyannote[248].end 1042.06221875
transcript.pyannote[249].speaker SPEAKER_01
transcript.pyannote[249].start 1044.82971875
transcript.pyannote[249].end 1044.86346875
transcript.pyannote[250].speaker SPEAKER_01
transcript.pyannote[250].start 1044.93096875
transcript.pyannote[250].end 1044.94784375
transcript.whisperx[0].start 6.656
transcript.whisperx[0].end 6.716
transcript.whisperx[0].text 第一個問題
transcript.whisperx[1].start 29.113
transcript.whisperx[1].end 54.544
transcript.whisperx[1].text 我們現在進口的美國、歐盟或日本的原廠藥我們現在進到台灣我們課的關稅是多少?零沒有關稅啦那個學民藥也是零都是一樣都是零那我們出口到美國或者歐盟的原料藥他們課我們多少關稅?
transcript.whisperx[2].start 57.679
transcript.whisperx[2].end 75.667
transcript.whisperx[2].text 應該是這樣子講 就是說在 當然最近那個美國有宣布他是對這個專利期內的藥跟其原料藥才課稅所以其他的這個學名藥的原料藥還有學名藥那麼到美國還是沒有關稅啦
transcript.whisperx[3].start 76.994
transcript.whisperx[3].end 98.47
transcript.whisperx[3].text 阿川普是公算的,我是要撒謊的阿我們現在的原料藥,台灣也有幾個藥廠在做原料藥阿因為成本很高阿因為我們偉大的施護長跟健保署我們沒有供應到美國的專利藥的原料藥所以對我們沒有影響阿如果是學名藥的原料藥?也沒有課稅
transcript.whisperx[4].start 99.511
transcript.whisperx[4].end 120.041
transcript.whisperx[4].text 那他現在要扣是扣專利藥就是那個新藥啦專利藥集齊原料藥集齊原料藥所以我們台灣沒有在做這個專利藥輸美的只有一個啊這個藥廠已經在美國也要設廠了所以也不受影響所以他在說什麼跟我們沒有關係沒有關係沒有影響好那第二個問題我們
transcript.whisperx[5].start 127.372
transcript.whisperx[5].end 135.821
transcript.whisperx[5].text 最近我們部長有講說因為我們的原料藥大部分都來自印度跟中國大陸對不對原料藥嘛對全球都這樣日本、韓國、台灣是要做一個料
transcript.whisperx[6].start 140.795
transcript.whisperx[6].end 168.042
transcript.whisperx[6].text 聯盟來自己來開發這行得通嗎應該這麼說就是各國現在也都重視到這個多元分散那個原料要來源所以我們也有一個叫做這個國家藥品韌性整備計畫裡面就打算要來鼓勵在台灣開發原料要但是我們也不可能全部的原料要都自己做因為這個是一個高汙染的產業那也沒那麼多
transcript.whisperx[7].start 169.122
transcript.whisperx[7].end 197.008
transcript.whisperx[7].text 所以需要跟其他的友好國家大家建立這個非紅供應鏈所以大概有這樣的構思在努力因為顏料最原始的顏料就是礦區出來然後再去墮碎然後再去分提煉分解那個一定是要國家很大眾生夠因為那是污染還會有時候要爆炸所以
transcript.whisperx[8].start 198.459
transcript.whisperx[8].end 221.436
transcript.whisperx[8].text 一定是那種澳洲、中國大陸、印度這種大國才有辦法我們這裡只能看中間的原料藥的後面那一段我們也有原料藥廠,我們有幾家原料藥廠再來因為時間有限,我不想像王毅民這樣講那麼久第二個問題
transcript.whisperx[9].start 224.227
transcript.whisperx[9].end 238.999
transcript.whisperx[9].text 馬鈴薯因為現在所有的館長大家都很歡樂的馬鈴薯以前是如果化解我們小時候在健康期就知道化解後它會臭香臭香裡面一定有一些化學藥物品
transcript.whisperx[10].start 239.793
transcript.whisperx[10].end 248.418
transcript.whisperx[10].text 那這個叫做ソラリン嘛 它會閃成ソラリン那ソラリン怎麼會翻成龍奎簡這個是誰翻的啊 哪一個天才啊我們這些外來語到底就是喪在翻裂的啊你看日本的外來語是都很有藝術的我們這個ソラリン 這個是什麼東東啊叫做龍奎簡 這是石耀書 江志剛你發明的喔
transcript.whisperx[11].start 269.827
transcript.whisperx[11].end 283.18
transcript.whisperx[11].text 好那這種以前是整批退現在美國要求我們要廠子裡面拿回去然後自己分 把餐廳吃掉就可以做洋芋片 什麼這樣做
transcript.whisperx[12].start 287.181
transcript.whisperx[12].end 314.868
transcript.whisperx[12].text 我們是這樣第一個要先強化這個源頭管理所以在這個美國他在那邊要出口之前他就要去強化檢疫規定包含要噴灑這個叫做那個發芽劑那個發芽的抑制劑他要噴灑然後要去通過我們這個房檢署相關的這個檢疫規定所以說完成OK了之後他才可以上傳
transcript.whisperx[13].start 316.108
transcript.whisperx[13].end 342.43
transcript.whisperx[13].text 那因為如果在這個傳運過程當中有發生這個腐爛的情形的話當然如果你整批太高的比例還是會退運的那如果只是部分的話那它就經過特殊的封裝處理到加工地點再去做剔除啦 是這樣因為我們屏東黃山齁 它仿良那邊的芒果要銷日本那芒果的皮不薄而已啊
transcript.whisperx[14].start 343.243
transcript.whisperx[14].end 359.597
transcript.whisperx[14].text 如果那些藥丟兩下去,就一點點黑掉所以就要烘過,燻煙燻,可能部長也不知道以後有機會帶你去看看啦有的是用那五十五度的水把它燙過,這樣它那兩下去會死去如果不去跟日本,如果有電工,能補出來日本是整個在消費
transcript.whisperx[15].start 368.064
transcript.whisperx[15].end 385.943
transcript.whisperx[15].text 整批的 整貨物就給你銷毀所以沒有地銷的所以你們在把關 你們在把關要 要 要 要 嚴格 不能這樣他美國講什麼 你做什麼不會 因為他進到台灣之後加工處理的這個地點也是要我們許可的
transcript.whisperx[16].start 386.443
transcript.whisperx[16].end 398.999
transcript.whisperx[16].text 所以它的那個加工那個食品加工的那個許可再製的話我們會特別的去強化管理因為這個跟進鏈它如果發芽之後產生那個收納率這個
transcript.whisperx[17].start 401.383
transcript.whisperx[17].end 423.444
transcript.whisperx[17].text 成年人吃了 其實老闆娘嘛 欸 孩子啊 血抽筋欸你神經系統受不了欸 有的翹起來欸所以你做醫 我們都醫生 你就要把關耳神欸不要發生命案 那時候你也受不了囉那第二個就是剛剛有講基改的食品不能進校園 因為現在
transcript.whisperx[18].start 425.519
transcript.whisperx[18].end 446.644
transcript.whisperx[18].text 現在的國中國小現在的營養午餐現在各縣市好像都承諾要免費由政府來支出台北市一餐是75塊我們屏東市57塊我們屏東比較小一點就對了好這些基改的這個食品你剛剛有承諾說不會進嗎不會進校園嗎不會喔那有入華的嗎有入華的嗎對學校衛生法
transcript.whisperx[19].start 453.689
transcript.whisperx[19].end 477.861
transcript.whisperx[19].text 有嘛對 剛剛委員也知道那再來就是含萊克多巴胺的也不能進校園 現在沒有進校園沒有 現在是百分之百用國產豬那這個不要再讓他們進到校園去是的 四年來百分之百百分之百這個很重要 這個不能開玩笑的所以這三樣都要很小心好 來 再來黃田署站起來
transcript.whisperx[20].start 484.366
transcript.whisperx[20].end 512.139
transcript.whisperx[20].text 我們現在的動物用藥跟人的要流用是在我第八屆的時候那個時候部長你現在做醫事司長那個時辰在這裡就在這裡檢討幾行幾行要讓人 人可以養 那些動物可以養我們現在的動物用藥全台灣起 從娘到起到我的毛小孩總共兩百八十幾萬隻 要到三百萬隻三百四
transcript.whisperx[21].start 516.261
transcript.whisperx[21].end 527.566
transcript.whisperx[21].text 所以現在照顧毛小孩的這些年輕人,他們把它當作是家人所以我們健保的可能不是2300萬人,是要2670萬人
transcript.whisperx[22].start 532.828
transcript.whisperx[22].end 557.648
transcript.whisperx[22].text 這樣可以同意嗎這30%是動物用藥 70%都是流用的那現在開放到剛剛講是200多種了是不是現在要開放的話都701項還會再增加我要替這些毛小孩的事主講講話因為
transcript.whisperx[23].start 560.542
transcript.whisperx[23].end 576.061
transcript.whisperx[23].text 簡報是因為石崇洋部長跟健保署強砍一直砍一直壓所以健保的藥價都很合理很低所以大家都這樣犀利現在豆腐用藥進木前時
transcript.whisperx[24].start 583.342
transcript.whisperx[24].end 597.45
transcript.whisperx[24].text 我們醫師是涵蓋中醫、西醫、亞醫那獸醫是農業不發的證照所以獸醫開出來的處方是獸醫師自己調劑、自己給藥、自己收費沒有藥師嘛
transcript.whisperx[25].start 599.591
transcript.whisperx[25].end 617.931
transcript.whisperx[25].text 要是沒有介入嘛,那你現在這些毛小孩的素質,他們的負擔太大嘛,我覺得他們的業務太貴嘛,他們如果像健保這樣搶的,應該很合理的啦,所以現在的問題是出於錢的問題嘛,你一直貴,
transcript.whisperx[26].start 621.355
transcript.whisperx[26].end 641.173
transcript.whisperx[26].text 吸血管用藥 癌症用藥 這些訴訟怎麼負擔得起呢那你現在是想把這些獸醫師開處方因為他的獸醫的診所什麼也好他沒有辦法備那麼多種藥嘛所以他都處方幾個月叫他去藥局尿嘛藥局尿大家都睜一隻眼閉一隻眼嘛所以有時候
transcript.whisperx[27].start 648.787
transcript.whisperx[27].end 661.162
transcript.whisperx[27].text 藥局來跟便宜調約說要給動物用的,我都搞不清楚你現在是怎樣規範所以主席今天提這個題目非常好至少要把它釐清嘛,我認為
transcript.whisperx[28].start 663.22
transcript.whisperx[28].end 679.825
transcript.whisperx[28].text 對 完全 這個委員講的我完全同意啦就是在這個動物的這個治療上面是沒有醫藥分業它就是由這個獸醫師直接就可以提供藥物啦那只不過是因為現在它用到了人用藥
transcript.whisperx[29].start 680.805
transcript.whisperx[29].end 709.528
transcript.whisperx[29].text 那人用藥基於我們是主管機關的立場必須要掌握流向啦那麼一方面也要注意到這些用藥的安全包含不要因為濫用造成抗藥性的問題這個會回過頭來危害到人體健康跟我們未來使用藥物的選擇那另外也有一些比較高風險的藥物的管理像麻醉的用藥啦這些鎮定安眠的用藥那麼也避免人跟動物之間
transcript.whisperx[30].start 710.709
transcript.whisperx[30].end 734.084
transcript.whisperx[30].text 然後老來老去,不知道怎麼回到去啊所以上次我們這個過去健保管得這麼好所以這個是不希望有這個藥品管理的漏洞啦把這一塊納到健保署來管理可以啊可以嗎食藥署來管理啊我真的很擔心,因為我是臨床醫師我是心臟科醫師你是急診科,你腎臟科
transcript.whisperx[31].start 740.519
transcript.whisperx[31].end 747.391
transcript.whisperx[31].text 麻醉的藥FG的藥這些東西是很可怕的如果流用出來
transcript.whisperx[32].start 749.114
transcript.whisperx[32].end 773.203
transcript.whisperx[32].text 報告委員 一支藥品每一顆都歷歷皆清楚 流向絕對掌握的這個我們都要把它管控得很好啦 就是要管控得很好所以我們現在也在跟農業部跟他合作嘛 就讓我們兩邊的這個系統可以解決一方面這個藥商供藥的流向在哪裡 然後使用的量如何
transcript.whisperx[33].start 774.123
transcript.whisperx[33].end 786.032
transcript.whisperx[33].text 這樣我們才能夠供給確保這個不管是動物要用藥還是要人用藥都能夠穩定供應人的用藥的劑量是跟狼犬一樣這個是我念到的啦我們今天要記
transcript.whisperx[34].start 788.001
transcript.whisperx[34].end 813.001
transcript.whisperx[34].text 所以這個動物用藥跟人的用藥會不會流用我比較擔心的是一些管制藥品跟麻酸藥品這個真的會出事而且現在的量那麼大而且不要讓這些迅速負擔太大因為我們到獸醫店去獸醫師那邊去我覺得都很貴那個動物小旅館都要一天多少錢多少錢比健保還貴
transcript.whisperx[35].start 814.082
transcript.whisperx[35].end 838.664
transcript.whisperx[35].text 你知道嗎?所以健保局實際上就是夭壽的所以這一塊一定要好好的管理那你要要嘛就他們開處方簽全部都到健保要求去領藥至少藥師也可以管制一下雖然那事不上這些藥師也去受一些這些的訓練讓他們有本質血能能增加
transcript.whisperx[36].start 839.545
transcript.whisperx[36].end 867.304
transcript.whisperx[36].text 不然的話那我們的藥師這一塊也是沒有沒有所以我們現在初步的規劃方向也是雙軌制啦一方面是可以常用備藥的話可以從藥商或藥局直接供應或者是因為不是常備的部分備不足的部分可以到藥局因為比較方便也可以去拿所以是朝向用雙軌制的方式來重新規劃這樣
transcript.whisperx[37].start 869.305
transcript.whisperx[37].end 888.292
transcript.whisperx[37].text 杜署長我要講,現在我們的健保藥局,如果我看不到很多行,他們會去物流那裡調,調了再栽培過來,然後藥是再發給我們的病人,那這樣是很上軌道的,那你健保藥局如果你
transcript.whisperx[38].start 889.272
transcript.whisperx[38].end 918.075
transcript.whisperx[38].text 你那個獸醫師不可能看那麼多藥嘛他比較有可能他就把燉藥就倒了所以一定拿來藥取 健保藥取這樣釀啊健保藥取這樣阿婆管制阿婆這方面的知識啊一些管制藥 一些麻醉藥那個甚至會出問題然後你們的對獸醫師的管理有那麼嚴格嘛然後他自己開除方 自己調藥 自己配藥然後自己藥藥藥品的副作用 交叉反應那個會不會過量 會不會死掉
transcript.whisperx[39].start 919.011
transcript.whisperx[39].end 940.994
transcript.whisperx[39].text 那個都是因為現在養寵物的人那麼多所以今天沒時間講到經濟動物那個更大一塊但是這些寵物毛小孩這邊很多年輕人這樣我們是要很小心那獸醫師這邊怎麼管理現在獸醫師有幾個目前全台灣的獸醫師大概有6000多位
transcript.whisperx[40].start 941.334
transcript.whisperx[40].end 956.658
transcript.whisperx[40].text 六千多,那跟中醫是差不多啦那有兩千多家的動物醫院,就是獸醫的診療機構,就是動物醫院所以這一塊,暫緩實施,我也不知道是在暫緩實施什麼,是現在這樣繼續?這樣繼續這樣?我皮膚這樣齁?沒中?你是你最高的,你要講話呢?我先...
transcript.whisperx[41].start 966.511
transcript.whisperx[41].end 983.706
transcript.whisperx[41].text 應該是說我們要在最短的時間內重新檢討那個辦法因為那個辦法裡面它涉及到要如何成為這個保護用藥動物保護用藥的程序相關的規定還有使用上的規定要趕快重新檢視我們會盡快的時間內去訂出新的辦法
transcript.whisperx[42].start 988.97
transcript.whisperx[42].end 1007.157
transcript.whisperx[42].text 獸醫師、藥師還要管理辦法還有藥品還有一些危險藥品高菌性藥品都要好好的管理好 署長你跟衛生部的愛好啊 感到和諧是 報告委員就是因為原來的辦法裡面有一些可能沒有規定的細節上會
transcript.whisperx[43].start 1010.239
transcript.whisperx[43].end 1035.13
transcript.whisperx[43].text 沒有辦法也符合到現在目前的一個期待啦所以說我們現在要收回這個辦法的時候都會將社會各界的意見包括雙方相關利害關係人還有我們兩個單位的意見我想大家都會做一個綜合考慮那以及解決到我們現在的寵物就是我們的犬貓跟非激進動物牠們的生命權跟醫療權的保障之下往這個更完善的制度方向來進行以上 謝謝
transcript.whisperx[44].start 1037.251
transcript.whisperx[44].end 1039.073
transcript.whisperx[44].text 時代不一樣啦,我們要面對問題解決問題啦,加油,謝謝